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On modified wavenumber filters for rail contribution estimations
Elias Zea1, Ines Lopez Arteaga1
1The Marcus Wallenberg Laboratory for Sound and Vibration Research, KTH Royal Institute of Technology, 10044 Stockholm, Sweden zea@kth.se, inesla@kth.se.
The Journal of the Acoustical Society of America
|November 9, 2018
Summary
New filters improve rail noise estimation in pass-by noise analysis by accounting for higher-order wave families. This enhances accuracy for noise sources above 1.6 kHz.
Area of Science:
- Acoustics
- Vibration analysis
- Signal processing
Background:
- Pass-by noise analysis is crucial for vehicle development.
- Current wavenumber filters can underestimate rail noise, particularly at higher frequencies.
- This underestimation is linked to unaddressed higher-order wave families.
Purpose of the Study:
- To propose and evaluate novel wavenumber filter functions.
- To improve the accuracy of rail noise contribution estimations.
- To account for higher-order wave families in noise analysis.
Main Methods:
- Review and adaptation of existing wavenumber filters.
- Development of new filter functions designed to capture higher-order waves.
- Comparative analysis of filter performance using the wave signature extraction method.
Main Results:
- Original filters underestimate rail noise above 1.6 kHz.
- Proposed filters demonstrate improved capability in capturing higher-order wave families.
- Enhanced accuracy in estimating the rail contribution to pass-by noise.
Conclusions:
- Novel wavenumber filters offer a more accurate method for separating rail noise.
- Accounting for higher-order waves is essential for precise noise analysis above 1.6 kHz.
- The findings contribute to more reliable vehicle noise assessment.
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